Visualize conversion rate by language
When you calculated conversion rate by age group in the previous exercise, you printed out a DataFrame called language_conversion_rate containing your results. While this table provided useful information, it is much easier to compare relative conversion rates visually.
It is critical for data scientists to communicate results clearly to business stakeholders. A strong foundation in data visualization is a key aspect to conveying results, especially when engaging with people who are not as comfortable interpreting data on their own.
In this exercise, you will build upon the work you did to create language_conversion_rate by visualizing your results in a bar chart.
This exercise is part of the course
Analyzing Marketing Campaigns with pandas
Exercise instructions
- Create a bar chart using the
language_conversion_rateDataFrame. - Add the title
'Conversion rate by language\n'to your chart with font size 16. - Add an x-axis label,
'Language', and a y-axis label,'Conversion rate (%)', both with font size 14. - Display the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a bar chart using language_conversion_rate DataFrame
language_conversion_rate.____
# Add a title and x and y-axis labels
plt.____('____', size = ____)
plt.____('____', size = ____)
plt.____('____', size = ____)
# Display the plot
____